Engineer, Multi-Asset Arbitrage
This engineer maintains the systematic equity-volatility platform used by researchers and portfolio managers. The remit combines application development, market data and integration of shared trading tools.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Extend the equity-volatility trading platform
- Build SQL queries and Python or Rust services
- Automate scheduling, monitoring and manual workflows
- Coordinate releases and interfaces with platform teams
What they ask for
Required
- Python or Rust
- Production SQL
- Software-development experience
- Computer-science foundations
- Analytical debugging
- Clear requirements documentation
Preferred
- Equity-volatility knowledge
- Real-time and historical market data
- C++
- Cloud and streaming systems
- Education
- Computing or a closely related qualification; no level is specified.
- Experience
- The overview asks for 5+ years in financial services; the detailed criteria list 3+ years of software development.
- Languages and tools
- Markets
- equities, options
How to prepare
- Build an options-data service backed by a relational database
- Show how a research tool is released and monitored
- Explain trade-offs between platform reliability and delivery speed
What to study
- Quantitative Data Engineering
- Python for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Balyasny Asset Management’s site before applying: requirements, location and pay can change after we check them.
View the posting on Balyasny Asset Management’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Balyasny Asset Management and doesn’t handle applications.